mysheet MCP Server

@lgwanai

Basic information

About mysheet MCP Server

Mysheet-mcp is a MCP Server for converting Excel files into JSON format, particularly useful for data processing when called within large models or Agents.

mysheet MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

mysheet MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is mysheet MCP Server?

mysheet MCP Server is a Model Context Protocol server that converts Excel files into JSON format, with optional automatic uploading of embedded files to Tencent Cloud COS (Object Storage). It is designed for data processing within large language models or AI agents.

How to use mysheet MCP Server?

Install Java 21+ and Maven 3.6+, configure Tencent Cloud COS credentials and storage paths in application.yml, then start the server via ./mvnw spring-boot:run. The server exposes MCP tools (excel2Json, openFile, foreach, reset) that an AI agent can invoke to parse Excel files, manage sessions, and retrieve JSON data.

Key features of mysheet MCP Server

Converts Excel files to JSON with detailed cell type information (text, number, money, date, file, boolean)
Supports "row-object" parsing mode where each row becomes a JSON object
Automatically uploads embedded files to Tencent Cloud COS and replaces local paths with COS URLs
Uses Java 21 virtual threads for concurrent file uploads, boosting performance on large files
Provides session management (openFile, foreach, reset) for reading large Excel files in batches
Implements an MD5‑based cache to avoid re‑parsing identical files; cached data expires after 24 hours

Use cases of mysheet MCP Server

Extracting structured data from Excel spreadsheets for LLM ingestion
Processing Excel files that contain embedded images, documents, or other attachments stored on COS
Handling large Excel files by reading rows in chunks through session‑based cursors
Automating batch Excel‑to‑JSON conversion in AI agent workflows

Frequently asked questions

What Excel file formats are supported?

The server supports both `.xls` and `.xlsx` formats.

What are the runtime requirements?

Java 21 or higher (mandatory for virtual threads), Maven 3.6+, and a Tencent Cloud COS account for file storage.

How do I configure Tencent Cloud COS?

Edit `src/main/resources/application.yml` to set your COS secret‑id, secret‑key, region, and bucket‑name.

How does the cache work?

The server computes an MD5 hash of the uploaded Excel file and checks for a cached JSON file. If found, it returns the cached result. Cached session data is kept in memory for 24 hours and cleaned hourly.

What is the session timeout?

Sessions remain active in memory for 24 hours. The cleanup process runs every hour to remove expired sessions.

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